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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 17374
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    Explanations

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases enclosed in square brackets

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ĸļ
    -0.91
    İĭ
    -0.87
    Ń·
    -0.86
    ĪĴ
    -0.81
    ĻĤ
    -0.76
    ĵĺ
    -0.73
    »Ĵ
    -0.67
    ignt
    -0.66
    ©¶æ¥µ
    -0.65
     proport
    -0.64
    POSITIVE LOGITS
    interest
    0.73
    Management
    0.72
    },"
    0.70
    ...]
    0.68
    interface
    0.67
    âĨ
    0.66
    âĢ¦]
    0.65
    ],
    0.65
    >:
    0.63
    )].
    0.62
    Activations Density 0.075%

    No Known Activations